Get to know the role:

• Develop and deploy analytical solutions and dashboards for management and business teams across the Digibank's regional footprint, to enable data-driven decision-making. These solutions must be adaptable to the diverse business functions and regulatory environments of each country, and support areas including customer acquisition, customer retention, product development, pricing decisions, credit risk, and fraud identification for both retail and wholesale banking customers.

• Uncover and deliver actionable insights, trends and product recommendations to support the business, through dashboards and advanced visualisation techniques.

• Conduct both historical and predictive analyses and convert into digestible, readable, and publicly-available insights.

• Develop analytic tools to help the data team and other disciplines be more effective in debugging, data summarisation and analysis of results.

• Write SQL scripts for data transformation.

• Ensure data accuracy and good segmentation of data sets for tactical data mining.

• Taking on the responsibilities as a Technical Project Manager to drive projects, by partnering closely with the broader business, product, engineering and marketing teams to define requirements, design and analyse experiments that drive key product designs and marketing decisions.

• Design and develop Generative AI solutions to enhance data analysis and BI solutions.

• Creating data products which can be readily used by partners and business units across the bank.

• Act as the liaison officer between business units across the countries within the region and Data Engineering team on curating the data to be stored in a database and then used for dash-boarding.

• Thrive on sharing knowledge with others and helping collaborators grow to foster a positive and productive work environment.

Must Haves:

• 2-3 years related working experience in end-to-end dashboard development life cycle

• Bachelors or Masters degree in Statistics, Analytics, Economics, Mathematics, Engineering or other quantitative subjects

• Advanced in SQL, must have hands-on experience with Tableau and Python (optional)

• Familiar with Airflow and DAGs to automate and schedule data pipeline tasks and workflows

• Good to have experience on tools such as dbt, Presto, Hive, and Data Visualisation platforms like Power BI/D3.js

• Solid experience in reporting to management in delivering analyses and reports

• Experience with designing, running and analysing A/B tests and product experiments with a good understanding of hypothesis testing and the basic principles of Design of Experiment.

• Expertise in data retrieval, data modelling (both logical and physical), data warehouse design.

• Passionate about solving problems – possesses a relentless need for investigation and data exploration.

• Results and detail-oriented, with strong intuitions on how to solve problems creatively and quickly.

• Ability to distill data and articulate an actionable point of view to non-technical audiences and senior stakeholders using presentations, interactive visualisations, et al

• Strong business acumen, inherent curiosity about data, stakeholder management and project management skills to prioritise & manage multiple priorities in a fast-paced and multidisciplinary environment

• Highly self-driven, demonstrate critical thinking, team player & fast learner

• Work experience and knowledge of more than one domain is a plus - Risk Analytics, Marketing Analytics, Retail analytics, Fraud analytics etc.

• Added bonus with Generative AI skillet